A Jev-style decision model that reads text, images, video, and audio. The readout is marker. LoRA (r=32, alpha=64) is trained on the thinker of Qwen/Qwen2.5-Omni-3B. Only the thinker is loaded; the speech output is not. Training finished on 2026-10-04. The training config is configs/av/omni3bv4.yaml in jevtrainer: 79 text, image, audio, and video datasets, one epoch. The holdout has 1,610 examples, accuracy 85.03%, skill 79.54%, ECE 0.0096. Accuracy in percent. This repo is the LoRA adapter and the readout. Base weights still come from Qwen/Qwen2.5-Omni-3B. readout.json records the base model id.
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Weihongliang
weihongliang
Models in Library1
Datasets in Library0
Models on Hugging Face6
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